PEFT
Safetensors
llama4_text
lora
finance
sec-filings
customer-concentration
risk-analysis
reasoning
autoscientist-challenge
4-bit precision
bitsandbytes
Instructions to use Gro97/customer-concentration-risk-llama4-scout-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gro97/customer-concentration-risk-llama4-scout-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-4-Scout-17B-16E-Instruct_bnb_4bit") model = PeftModel.from_pretrained(base_model, "Gro97/customer-concentration-risk-llama4-scout-lora") - Notebooks
- Google Colab
- Kaggle
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